Paper List
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Summary of Transparency Attacks: How Imperceptible Image Layers Can Fool Ai Perception, by Forrest Mckee et al.
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Summary of Unsupervised Solution Operator Learning For Mean-field Games Via Sampling-invariant Parametrizations, by Han Huang et al.
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Summary of Distilling Privileged Multimodal Information For Expression Recognition Using Optimal Transport, by Muhammad Haseeb Aslam et al.
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Summary of Baichuan2-sum: Instruction Finetune Baichuan2-7b Model For Dialogue Summarization, by Jianfei Xiao et al.
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Summary of Segmentanytree: a Sensor and Platform Agnostic Deep Learning Model For Tree Segmentation Using Laser Scanning Data, by Maciej Wielgosz et al.
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Summary of Sernet-former: Semantic Segmentation by Efficient Residual Network with Attention-boosting Gates and Attention-fusion Networks, By Serdar Erisen
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Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
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Summary of An Objective Comparison Of Methods For Augmented Reality in Laparoscopic Liver Resection by Preoperative-to-intraoperative Image Fusion, By Sharib Ali et al.
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Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
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Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
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Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
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Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
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Summary of Ontomedrec: Logically-pretrained Model-agnostic Ontology Encoders For Medication Recommendation, by Weicong Tan et al.
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Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
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Summary of Overcoming the Pitfalls Of Vision-language Model Finetuning For Ood Generalization, by Yuhang Zang et al.
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Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
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Summary of Mlem: Generative and Contrastive Learning As Distinct Modalities For Event Sequences, by Viktor Moskvoretskii et al.
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Summary of Bridging the Domain Gap: a Simple Domain Matching Method For Reference-based Image Super-resolution in Remote Sensing, by Jeongho Min et al.
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Summary of Advnf: Reducing Mode Collapse in Conditional Normalising Flows Using Adversarial Learning, by Vikas Kanaujia and Mathias S. Scheurer and Vipul Arora
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Summary of Tfdmnet: a Novel Network Structure Combines the Time Domain and Frequency Domain Features, by Hengyue Pan et al.
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Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
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Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
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Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
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Summary of Response Generation For Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioning, by Kenta Izumi et al.
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Summary of Distribution-consistency Structural Causal Models, by Heyang Gong et al.
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Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
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Summary of Gt-pca: Effective and Interpretable Dimensionality Reduction with General Transform-invariant Principal Component Analysis, by Florian Heinrichs
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Summary of Ta&at: Enhancing Task-oriented Dialog with Turn-level Auxiliary Tasks and Action-tree Based Scheduled Sampling, by Longxiang Liu et al.
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Summary of Up-cracknet: Unsupervised Pixel-wise Road Crack Detection Via Adversarial Image Restoration, by Nachuan Ma et al.
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Summary of Yoda: Teacher-student Progressive Learning For Language Models, by Jianqiao Lu et al.
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Summary of Evaluating Echo State Network For Parkinson’s Disease Prediction Using Voice Features, by Seyedeh Zahra Seyedi Hosseininian et al.
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Summary of Detection Of a Facemask in Real-time Using Deep Learning Methods: Prevention Of Covid 19, by Gautam Siddharth Kashyap et al.
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Summary of One For All: a Novel Dual-space Co-training Baseline For Large-scale Multi-view Clustering, by Zisen Kong et al.
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Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
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Summary of Lil’hdoc: An Algorithm For Good Arm Identification Under Small Threshold Gap, by Tzu-hsien Tsai et al.
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Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
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Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
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Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
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Summary of M2-encoder: Advancing Bilingual Image-text Understanding by Large-scale Efficient Pretraining, By Qingpei Guo et al.
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Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
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Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
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Summary of Diffusion Facial Forgery Detection, by Harry Cheng and Yangyang Guo and Tianyi Wang and Liqiang Nie and Mohan Kankanhalli
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Summary of Bpdec: Unveiling the Potential Of Masked Language Modeling Decoder in Bert Pretraining, by Wen Liang et al.
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Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
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Summary of Stochastic Amortization: a Unified Approach to Accelerate Feature and Data Attribution, by Ian Covert et al.
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Summary of Knowledge-aware Neuron Interpretation For Scene Classification, by Yong Guan et al.
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Summary of Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel Vqa, by Yue Fan et al.
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Summary of Meta-learning For Neural Network-based Temporal Point Processes, by Yoshiaki Takimoto et al.
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Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
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Summary of Lcv2: An Efficient Pretraining-free Framework For Grounded Visual Question Answering, by Yuhan Chen et al.